Open AccessAssociation Between ERCC2 Polymorphisms and Glioma Risk: a Meta-analysis
Author(s) -
Liming Huang,
Sichuan Xi,
Danying Yan,
Min Zheng,
Yujie Deng,
Wucha Zeng,
Chen Liu,
Lin Xiao
Publication year - 2014
Publication title -
asian pacific journal of cancer prevention
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 75
eISSN - 2476-762X
pISSN - 1513-7368
DOI - 10.7314/apjcp.2014.15.11.4417
Subject(s) - ercc2 , odds ratio , glioma , meta analysis , medicine , single nucleotide polymorphism , confidence interval , oncology , publication bias , allele , genetics , genotype , biology , gene
ERCC2 is an essential component of the nucleotide excision repair pathway which is involved in the effective maintenance of genome integrity. Association studies on ERCC2 polymorphisms and glioma risk have yielded inconclusive results. This meta-analysis was performed to gain a better insight into the relationship between ERCC2 polymorphisms and glioma risk. A systematic literature search updated to December 2, 2013 was performed in the Pubmed and EMBASE databases. Crude pooled odds ratios (ORs) with their corresponding 95% confidence intervals (95% CIs) were used to estimate the association between ERCC2 polymorphisms and glioma risk under a suitable effect model according to heterogeneity. All analyses were performed using Review Manager 5 (version 5.2) and STATA (version 12.0). The combined results demonstrated rs13181 to be significantly associated with glioma risk (G allele versus T allele: OR=1.15, 95% CI=1.05-1.26, P=0.002; dominant model: OR=1.22, 95% CI=1.07-1.39, P=0.002; recessive model: OR=1.18, 95% CI=0.98-1.41, P=0.070). We also found that rs13181 acts in an allele dose-dependent manner (GG versus TT: OR=1.30, 95% CI=1.07-1.57, P=0.009; TG versus TT: OR=1.20, 95%=CI 1.05-1.37, P=0.009; trend test, P=0.004). However, no evidence was found in analyses for the association between other 3 ERCC2 polymorphisms (rs238406, rs1799793, and rs1052555) and susceptibility to glioma development. Our meta-analysis suggests that rs13181 is significantly associated with glioma risk in an allele dose-dependent manner, whereas, 3 other ERCC2 polymorphisms (rs238406, rs1799793, and rs1052555) may have no influence.